<h1><i class="glyphicon glyphicon-search"></i> <a href="#explore">Explore</a></h1>
<p>Explore the datase using our online interface. Get a sense of the scale and type of data in COCO.</p>

<h1><i class="glyphicon glyphicon-download"></i> <a href="#download">Download</a></h1>
<p>Download the dataset, including tools, images, and annotations. See <a href="https://github.com/cocodataset/cocoapi/blob/master/PythonAPI/pycocoDemo.ipynb" target="_blank" class="fontMono">cocoDemo</a> in either the Matlab or Python code.</p>

<h1><i class="glyphicon glyphicon-cloud-download"></i> <a href="#external">External</a></h1>
<p>Download external datasets that complement or extend COCO, including COCO annotations for object attributes, VQA, human actions and interactions with objects, scene text, saliency, etc.</p>

<h1><i class="glyphicon glyphicon-king"></i> Tasks: <span class="fontBigger"><a href="#detection-2018">Detection</a> | <a href="#keypoints-2018">Keypoints</a> | <a href="#stuff-2018">Stuff</a> | <a href="#panoptic-2018">Panoptic</a> | <a href="#captions-2015">Captions</a></span></h1>
<p>Learn about the individual challenge tasks. Come to the workshops to learn about the state of the art. Once you're ready, compete in the challenges to earn prizes and opportunities to present your work!</p>

<h1><i class="glyphicon glyphicon-cog"></i> Participate: <span class="fontBigger"><a href="#format-data">Data Format</a> | <a href="#format-results">Results Format</a> | <a href="#guidelines">Test Guidelines</a> | <a href="#upload">Upload Results</a></span></h1>
<p>Develop your algorithm. Run your algorithm on COCO and save the results using the format described. Then, learn about the guidelines for using the val and test sets and participating in challenges.</p>

<h1><i class="glyphicon glyphicon-stats"></i> Evaluate: <span class="fontBigger"><a href="#detection-eval">Detection</a> | <a href="#keypoints-eval">Keypoints</a> | <a href="#stuff-eval">Stuff</a> | <a href="#panoptic-eval">Panoptic</a> | <a href="#captions-eval">Captions</a></span></h1>
<p>Evaluate results of your system. See <a href="https://github.com/cocodataset/cocoapi/blob/master/PythonAPI/pycocoEvalDemo.ipynb" target="_blank" class="fontMono">evalDemo</a> in either the Matlab or Python code and <a href="https://github.com/tylin/coco-caption/blob/master/cocoEvalCapDemo.ipynb" target="_blank" class="fontMono">evalCapDemo</a> in the Python code for detection and caption demo code. Upload your results to the test-set eval servers to compete in public challenges!</p>

<h1><i class="glyphicon glyphicon-th-list"></i> Leaderboard: <span class="fontBigger"><a href="#detection-leaderboard">Detection</a> | <a href="#keypoints-leaderboard">Keypoints</a> | <a href="#stuff-leaderboard">Stuff</a> | <a href="#panoptic-leaderboard">Panoptic</a> | <a href="#captions-leaderboard">Captions</a></span></h1>
<p>Check out the state-of-the-art! See what algorithms are best at the various tasks.</p>
